Remote Reinforcement Learning Research Engineer

Placements24; Mbombela (Nelspruit); Hybrid; ZAR 1,494,000 - 2,490,000; Full time

Benefits offered by this job

Fully remote

Flexible schedule

Access to computing resources

Professional development

Collaborative research environment

Job summary

Placements24 is seeking an AI Research Engineer specializing in Reinforcement Learning to design, implement, and evaluate cutting-edge RL algorithms for highly advanced projects. This fully remote role offers collaboration with researchers and engineers to push the boundaries of intelligent decision-making systems.

The ideal candidate holds a PhD or Master’s in CS/AI/ML with 3+ years of RL research, strong RL theory, and hands-on experience with Python and ML frameworks such as TensorFlow,

Qualifications

• PhD or Master’s degree in CS/AI/ML or related field.
• 3+ years of proven RL research experience.
• Strong RL concepts including Q-learning, policy gradients, and deep RL.
• Excellent communication and collaboration skills for remote work.

Responsibilities

• Conduct research and development in Reinforcement Learning, exploring new algorithms and techniques.
• Design, implement, and test RL agents for complex problems.
• Collaborate with researchers and engineers to deploy RL solutions.
• Analyze results, present findings to team and stakeholders.
• Stay current with RL advancements and related AI fields.
• Develop simulation environments for training RL agents.
• Contribute to publications, patents, and open-source projects.
• Optimize RL algorithms for performance and scalability.
• Troubleshoot and debug complex AI systems.

Skills

Reinforcement Learning theory

Python programming

Research experience

Remote collaboration

Education

PhD or Master’s in CS/AI/ML

Tools

TensorFlow

PyTorch

Ray RLlib

Job description

Placements24 is seeking an AI Research Engineer specializing in Reinforcement Learning to design, implement, and evaluate cutting-edge RL algorithms for highly advanced projects. This fully remote role offers collaboration with researchers and engineers to push the boundaries of intelligent decision-making systems.

The ideal candidate holds a PhD or Master’s in CS/AI/ML with 3+ years of RL research, strong RL theory, and hands-on experience with Python and ML frameworks such as TensorFlow,